| layout | default |
|---|---|
| title | Ollama Tutorial |
| nav_order | 19 |
| has_children | true |
| format_version | v2 |
Learn how to use
ollama/ollamafor local model execution, customization, embeddings/RAG, integration, and production deployment.
Ollama is one of the most adopted local-LLM runtimes. Teams use it for privacy-sensitive workloads, cost control, and offline-capable development.
This track focuses on:
- practical local model operations
- model configuration and customization workflows
- embeddings/RAG application patterns
- production deployment and performance tuning
- repository:
ollama/ollama - stars: about 165k
- latest release:
v0.18.0(published 2026-03-14)
flowchart LR
A[Model Registry] --> B[Ollama Pull and Storage]
B --> C[Local Runtime]
C --> D[CLI and REST API]
D --> E[Applications and Integrations]
C --> F[Customization and Performance Tuning]
| Chapter | Key Question | Outcome |
|---|---|---|
| 01 - Getting Started | How do I install and run first local models? | Working local baseline |
| 02 - Models and Modelfiles | How do I manage and configure model variants? | Better model lifecycle control |
| 03 - Chat and Completions | How do I build reliable generation flows? | Stable interaction patterns |
| 04 - Embeddings and RAG | How do I build retrieval workflows locally? | Local RAG architecture |
| 05 - Custom Models | How do I tailor models to tasks? | Modelfile customization playbook |
| 06 - Performance Tuning | How do I optimize latency and throughput? | Performance and hardware strategy |
| 07 - Integrations | How does Ollama fit larger toolchains? | Ecosystem integration patterns |
| 08 - Production Deployment | How do I run Ollama in production? | Deployment and operations baseline |
- how to run and manage local LLMs with Ollama
- how to configure models and prompts for specific workloads
- how to build embeddings/RAG flows using local infrastructure
- how to deploy and operate Ollama with reliability and security controls
Start with Chapter 1: Getting Started.
- Start Here: Chapter 1: Getting Started with Ollama
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- Chapter 1: Getting Started with Ollama
- Chapter 2: Models, Pulling, and Modelfiles
- Chapter 3: Chat, Completions, and Parameters
- Chapter 4: Embeddings and RAG with Ollama
- Chapter 5: Modelfiles, Templates, and Custom Models
- Chapter 6: Performance, GPU Tuning, and Quantization
- Chapter 7: Integrations with OpenAI API, LangChain, and LlamaIndex
- Chapter 8: Production Deployment, Security, and Monitoring
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